AWSvsHeroku
How 10 AI models weigh AWS against Heroku on the 1 buying question where both came up.
- AWS
- 96%of answers named it
- Heroku
- 70%of answers named it
- Placed higher
- 39–1times AWS vs Heroku, over 40 model rankings that listed either
- Models leaning
- 10–0toward AWS vs Heroku
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | AWS | Heroku | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 4–0 | AWS |
| GPT-6 Luna | 100% | 75% | 4–0 | AWS |
| Gemini 4 Argon | 100% | 50% | 4–0 | AWS |
| Qwen 3.8 Flash | 67% | 100% | 3–1 | AWS |
| DeepSeek V4 Pro | 100% | 25% | 4–0 | AWS |
| GLM-5.3 | 100% | 92% | 4–0 | AWS |
| Kimi K3 | 100% | 58% | 4–0 | AWS |
| MiniMax M3 | 100% | 75% | 4–0 | AWS |
| Mistral Large 4 | 100% | 92% | 4–0 | AWS |
| Nemotron 3 Ultra | 92% | 33% | 4–0 | AWS |
What the models say about AWS
One reason per model, from the shared questions
- Claude Haiku 5.5
Deepest service catalog and startup credits; the default choice for most startups.
- GPT-6 Luna
Broadest service ecosystem, global reach, and mature startup credits make it a versatile default.
- Gemini 4 Argon
Unmatched service breadth, industry-standard scalability, and massive startup credit programs.
- Qwen 3.8 Flash
Deepest services, best pricing tools, massive startup ecosystem.
- DeepSeek V4 Pro
Unmatched service breadth, global reach, and startup credits make it the default choice.
- GLM-5.3
Deepest service catalog, free credits, and scaling headroom as the startup grows.
- Kimi K3
Broadest services, deepest ecosystem, proven scale, and generous startup credits.
- MiniMax M3
Industry leader with unmatched scalability, services, and startup credits.
- Mistral Large 4
Unmatched global scale, breadth of services, and startup credits program.
- Nemotron 3 Ultra
Mature services, startup credits, global reach
What the models say about Heroku
One reason per model, from the shared questions
- Claude Haiku 5.5
Fastest path from git push to production with minimal ops overhead.
- GPT-6 Luna
Still among the easiest platforms for rapid prototyping, though its pricing and flexibility trail newer options.
- Gemini 4 Argon
Pioneered effortless app deployment, though higher costs and slower innovation limit its appeal today.
- Qwen 3.8 Flash
Classic DX still unmatched for quick prototypes.
- DeepSeek V4 Pro
Effortless app deployment, managed infrastructure, ideal for MVPs without DevOps overhead.
- GLM-5.3
Simplest deploy workflow ever; still great for quick MVPs despite pricing changes.
- Kimi K3
Still one of the easiest platforms for launching quickly despite weaker modern momentum.
- MiniMax M3
Quick setup and ideal for MVPs and early-stage prototypes.
- Mistral Large 4
Pioneering PaaS simplicity, though pricier now for scaling startups.
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | AWS | Heroku |
|---|---|---|
| Best cloud platforms for startups | 96% #2 | 70% #9 |